Optimizing Hospitalist Imaging Prior Auth Workflows

Klivira's platform automates hospitalist imaging prior auth, ensuring timely approvals for advanced diagnostics critical in acute care settings.

For revenue cycle directors and prior authorization coordinators supporting hospitalist groups, managing imaging prior authorizations (PAs) presents unique challenges. The urgency of inpatient diagnostics directly impacts patient length of stay and care progression, making efficient PA crucial. Klivira addresses these complexities by integrating directly into the hospitalist workflow.

The Inpatient Imperative: Why Hospitalist Imaging Prior Auth Demands Efficiency

Hospitalists, also known as internal medicine inpatient specialists, frequently order advanced imaging such as MRI, CT, PET, and nuclear stress tests for acute conditions. Delays in obtaining prior authorization for these diagnostics can significantly impact patient throughput, discharge planning, and overall quality of care. The fast-paced inpatient environment necessitates a PA process that is both accurate and rapid, minimizing administrative burden on clinical staff.

Common Bottlenecks in Manual Hospitalist Imaging Prior Auth

Without automation, hospitalist imaging PA workflows are prone to several inefficiencies. Staff must manually identify if a PA is required, determine the correct specialty benefit-management vendor (such as eviCore, NIA Magellan, or Carelon Medical Benefits Management formerly AIM), and then submit detailed clinical documentation through various portals. This fragmented process leads to missed authorizations, submission errors, and significant delays in scheduling critical imaging.

Key Failure Modes Addressed by Automation

  • **Missed PA Requirements:** Inpatient orders for advanced imaging are often placed under time pressure, leading to PA requirements being overlooked.
  • **Vendor Identification Errors:** Correctly routing imaging PA to the appropriate radiology benefit manager (RBM) or payer-direct channel is a common point of failure.
  • **ACR Appropriateness Gaps:** Clinical documentation may not align with ACR Appropriateness Criteria, leading to denials that require time-consuming peer-to-peer reviews.
  • **Imaging Scheduling Delays:** PA backlogs directly impact the ability to schedule advanced imaging, prolonging diagnosis and treatment timelines for inpatients.

Klivira's Automated Workflow for Hospitalist Imaging PA

Klivira integrates seamlessly into the hospitalist's EMR workflow, leveraging CDS Hooks (e.g., `order-sign` for ServiceRequests) to detect advanced imaging orders at the point of entry. Our platform automatically identifies the responsible payer and routes the submission to the correct destination, whether it's a specialty benefit-management vendor (like eviCore, NIA Magellan, or Carelon Medical Benefits Management), a Da Vinci PAS endpoint, or a direct X12 278 submission to the payer. This eliminates manual lookups and ensures timely, accurate submissions.

Pre-Submission Intelligence with ACR Appropriateness Criteria

A critical component of Klivira's solution is the pre-submission evaluation against ACR Appropriateness Criteria. Before submission, Klivira assesses the clinical question, ICD-10 diagnosis, prior imaging history, and conservative care trials. If an order doesn't meet appropriateness thresholds, Klivira can surface alternative imaging recommendations to the clinician at order entry, preventing denials and reducing the need for peer-to-peer reviews. This proactive approach is vital for maintaining inpatient flow.

Integrated Peer-to-Peer and Response Handling

When a clinical denial occurs based on appropriateness grounds, Klivira streamlines the peer-to-peer scheduling process, integrating it into the automated workflow. Approved authorizations are automatically captured and routed for imaging scheduling, while modification recommendations are surfaced to the ordering clinician. This comprehensive approach ensures that hospitalists can focus on patient care, not administrative hurdles.

Frequently asked questions

How does Klivira handle urgent inpatient imaging PAs for hospitalists?

Klivira's system detects imaging orders at the point of entry in the EMR using CDS Hooks, allowing for immediate PA requirement checks and automated submission. While Klivira cannot speed up the vendor's review time, it significantly reduces the administrative cycle time, ensuring submissions are prompt and complete.

Which radiology benefit managers (RBMs) does Klivira integrate with for hospitalist orders?

Klivira is designed to integrate with major radiology benefit managers, including eviCore, NIA Magellan, and Carelon Medical Benefits Management (formerly AIM Specialty Health), as well as direct payer channels. Our platform automatically identifies the correct RBM or payer for each submission based on the member's plan.

Can Klivira reduce the volume of peer-to-peer requests for hospitalist imaging orders?

Yes, by performing pre-submission checks against ACR Appropriateness Criteria, Klivira can identify potential appropriateness gaps and recommend alternative imaging to the clinician at order entry. This proactive intelligence helps prevent denials and reduces the need for subsequent peer-to-peer conversations.

What EMR standards does Klivira use to integrate with hospitalist workflows?

Klivira leverages industry standards such as SMART on FHIR for EMR integration and Da Vinci CRD (Coverage Requirements Discovery) for real-time PA requirement checks. Submissions are processed via Da Vinci PAS (Prior Authorization Support) endpoints or traditional X12 278 EDI for payers and vendors.

How does Klivira ensure the accuracy of clinical documentation for imaging PA submissions?

Klivira pulls required clinical data directly from the EMR via FHIR, ensuring that submissions are complete and accurate. Our pre-submission checks, informed by ACR Appropriateness Criteria, also help validate that the clinical documentation supports the medical necessity of the ordered imaging.

Related coverage

Other hospitalist prior auth workflows

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